Languages and Compilers for Parallel Computing 21th International Workshop, LCPC 2008, Edmonton, Canada, July 31 - August 2, 2008, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Amaral, José Nelson (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Lecture Notes in Computer Science, 5335
• Θέματα: Computer science.; Computer communication systems.; Computer programming.; Programming languages (Electronic computers).; Data structures (Computer science).; Computers.; Computer Science.; Programming Languages, Compilers, Interpreters.; Programming Techniques.; Computer Communication Networks.; Data Structures.; Computing Methodologies.; Models and Principles.

 This book constitutes the thoroughly refereed post-conference proceedings of the 21th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2008, held in Edmonton, Canada, in July/August 2008. The 18 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 35 submissions. The papers address all aspects of languages, compiler techniques, run-time environments, and compiler-related performance evaluation for parallel and high-performance computing and comprise also presentations on program analysis that are precursors of high performance in parallel environments. 

 CUDA-Lite: Reducing GPU Programming Complexity -- MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs -- Automatic Pre-Fetch and Modulo Scheduling Transformations for the Cell BE Architecture -- Efficient Set Sharing Using ZBDDs -- Register Bank Assignment for Spatially Partitioned Processors -- Smashing: Folding Space to Tile through Time -- Identification of Heap–Carried Data Dependence Via Explicit Store Heap Models -- On the Scalability of an Automatically Parallelized Irregular Application -- Statistically Analyzing Execution Variance for Soft Real-Time Applications -- Minimum Lock Assignment: A Method for Exploiting Concurrency among Critical Sections -- Set-Congruence Dynamic Analysis for Thread-Level Speculation (TLS) -- Thread Safety through Partitions and Effect Agreements -- P-Ray: A Software Suite for Multi-core Architecture Characterization -- Scalable Implementation of Efficient Locality Approximation -- P-OPT: Program-Directed Optimal Cache Management -- Compiler-Driven Dependence Profiling to Guide Program Parallelization -- gluepy: A Simple Distributed Python Programming Framework for Complex Grid Environments -- A Fully Parallel LISP2 Compactor with Preservation of the Sliding Properties -- A Case Study in Tightly Coupled Multi-paradigm Parallel Programming -- ASYNC Loop Constructs for Relaxed Synchronization -- Design for Interoperability in stapl: pMatrices and Linear Algebra Algorithms -- Implementation of Sensitivity Analysis for Automatic Parallelization -- Just-In-Time Locality and Percolation for Optimizing Irregular Applications on a Manycore Architecture -- Exploring the Optimization Space of Dense Linear Algebra Kernels.